@take-cake

#1,921,68713

0xdfc72ff0012fa86bdcca058dcaf84d2ed0ac6aa2

~3d· 8 markets · 47 tradesVol: $3,7172026-08-05 02:23:29
SMART SCORE SYSTEM

Composite trader rating.
0 to 100.

Smart Score aggregates PnL consistency, win rate, risk management, diversification, timing patterns, and trading behavior into a single 0‑100 score. Combined with bot detection that analyzes trade timing gaps, order patterns, and execution speed.

13
Beginner
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

38% (3/8)3.8/20
0.73x (win $6 / loss $8)0/15
Annualised Sharpe 0.0000/15
Sortino 0.0000/10
$-0.0887 per $1 invested0/10
HHI 5207 (8 markets)0/10
2/3 profitable days (67%)9.2/10
Max DD 235% of peak ($8 / $3)0/10

Badges

1
Consistent
2/3 profitable days

Categories

1
🌤️ WEATHER#251,418$-13Vol: $3,717

Overview

#1
Net PnL
$-13
Polymarket official
Total Volume
$3,717
Total Redeem
$0
Portfolio
$0
Predictions
8
total markets
Trades
14B / 33S
Daily Volume
$0
Account Age
~3d

PnL Analysis

#3

Realized profit from closed cash flows — may differ from Polymarket UI while positions are still open. Methodology

Win Rate (events)
38%
3W / 5L events
Realized PnL
$-13
Win Rate
38%
3W / 5L
Profit Factor
0.73x
Avg Win
$2
Avg Loss
$-2

Outlier Sensitivity: Top-3 = $6 (0.4859594383775351% of PnL)

Top Winners

Will the highest temperature in San Francisco be between 76-77°F on July 13?$3
Will the highest temperature in Paris be 33°C on July 16?$2
Will the highest temperature in Milan be 35°C on July 14?$1

Top Losers

Will the highest temperature in Milan be 29°C or below on July 14?$-4
Will the highest temperature in Milan be 33°C on July 14?$-2
Will the highest temperature in Milan be 31°C on July 14?$-2
Will the highest temperature in Milan be 30°C on July 14?$-1

Risk Metrics

#4
Sharpe
-0.121
Sortino
-750.000
HHI
3313
Concentrated
EV per $1
$-0.089
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
54.7%
Top-5 markets
85.6%

Behavior Analysis

#5
Trades / Day
11.8
Active
Markets / Day
2.0
Active Hours
5/24
Normal
Peak Hour
2:00 UTC
Median Gap
13s
between trades
Avg Gap
46.5m
between trades
Night Trading
94%
22:00–06:00 UTC
Size Variance
1.18
Variable
Session Statistics
Sessions
6
Avg Duration
1 min
Avg Trades / Session
7.8

Bot Detection

#6
25
LIKELY HUMAN (fast interface)LOW probability

7 indicators analyzed

Trade Speed
HIGH
Night Activity
HIGH
Active Hours
LOW
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
Median gap 13s — suspiciously fastCV 1.18 — diverse sizes (human-like)94% night trades — never sleeps5/24 hours — normal schedule12 trades/day — very active2.0 markets/day — normal30% maker — normal mix

Timing Patterns

#7

Peak hour: 2:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
5.88
Active DCA

Price Levels

#9
Low (<20c)28.6%
Mid (20-55c)21.4%
High (>55c)50%

Sessions

#12
7/14/2026, 2:42:46 AM26 trades$6394 min
7/14/2026, 3:04:38 AM12 trades$181 min
7/14/2026, 2:52:44 AM4 trades$130 min
7/16/2026, 12:13:29 AM2 trades$20 min
7/13/2026, 8:31:13 PM2 trades$20 min
7/13/2026, 5:46:47 PM1 trades$20 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
2026-07-13 12:00:00
2026-07-14 12:00:00
2026-07-16 12:00:00

Faded bars = markets ending in the future (PnL from early exits)

Profile

#14
Specialization
WEATHER
100% weather
Holding Style
ACTIVE SELLER
70.2% sell
DCA Style
HEAVY
avg 5.88/mkt
Entry Bias
HIGH $
L28.6 / M21.4 / H50